Suppr超能文献

老年精神科门诊患者中排名前20的药物相互作用、多重用药情况以及因使用延长QT间期药物导致的危险因素性质分析。

Top 20 drug - drug interactions, polypharmacy and analysis of the nature of risk factors due to QT interval prolonging drug use in elderly psychiatry outpatients.

作者信息

Das Biswadeep, Ramasubbu Saravana Kumar, Kumar Barun, Rawat Vikram Singh

机构信息

Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Virbhadra Road, Rishikesh, Uttarakhand, India.

Department of Cardiology, All India Institute of Medical Sciences (AIIMS), Virbhadra Road, Rishikesh, Uttarakhand, India.

出版信息

J Family Med Prim Care. 2020 Dec 31;9(12):6023-6040. doi: 10.4103/jfmpc.jfmpc_1060_20. eCollection 2020 Dec.

Abstract

INTRODUCTION AND OBJECTIVES

Psychotropic medications extend the corrected QT (QTc) period in the ECG. Psychiatric patients exposed to ≥ 1 psychotropic medication (s) represent a group with a marked probability of drug-activated QTc-prolongation. Prolonged QTc interval in elderly patients (age > 60 years) is connected to a greater risk of all-cause and coronary heart disease deaths. We investigated the pattern of utilization of QTc-interval prolonging medications, QT-extending interactions between drugs, and prevalence of QTc-interval prolonging risk factors in elderly patients.

METHODS

This was a cross-sectional, prospective study at the Psychiatry OPD at All India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand, India from October 1, 2017 to December 31, 2018 employing the pertinent prescriptions.

RESULTS

A total of 208 elderly patients (age 60 years or more) visiting the Psychiatry OPD during the aforementioned study period were investigated. 105 (50.5%) patients were males whereas 103 (49.5%) were females in our study. 147 out of 208 patients (70.7%) were using interacting agents with the capacity to produce TdP. 288 interacting torsadogenic medication pairs were unraveled. As per AzCERT/CredibleMeds Classification, 254 (48.8%), 181 (34.8%), and 62 (12%) interacting medications were identified with known, possible, and conditional risk of TdP, respectively. The common interacting medications belonged to antidepressant (144), proton pump inhibitor (91), antipsychotic (85), anti-nausea (46), antimicrobial (39), and H receptor antagonist (15) therapeutic categories.

CONCLUSIONS

Many geriatric patients were administered drugs and drug combinations with heightened proclivity towards QT-interval prolongation. Therefore, we need to exigently embrace precautionary safety interventions, to be vigilant, and forestall QT-prolongation and TdP in clinical settings. Online evidence-based drug information resources can aid clinicians in choosing drugs for psychiatric patients.

摘要

引言与目的

精神药物会延长心电图中的校正QT(QTc)间期。使用≥1种精神药物的精神科患者是药物诱发QTc延长可能性显著增加的群体。老年患者(年龄>60岁)QTc间期延长与全因死亡和冠心病死亡风险增加有关。我们调查了老年患者中QTc间期延长药物的使用模式、药物之间的QT延长相互作用以及QTc间期延长危险因素的患病率。

方法

这是一项于2017年10月1日至2018年12月31日在印度北阿坎德邦瑞诗凯诗全印度医学科学研究所(AIIMS)精神病科门诊进行的横断面前瞻性研究,采用相关处方。

结果

在上述研究期间,共有208名60岁及以上的老年患者到精神病科门诊就诊并接受了调查。在我们的研究中,105名(50.5%)患者为男性,103名(49.5%)为女性。208名患者中有147名(70.7%)正在使用具有产生尖端扭转型室性心动过速(TdP)能力的相互作用药物。共发现288对相互作用的致TdP药物。根据AzCERT/CredibleMeds分类,分别有254种(48.8%)、181种(34.8%)和62种(12%)相互作用药物被确定具有已知、可能和有条件的TdP风险。常见的相互作用药物属于抗抑郁药(144种)、质子泵抑制剂(91种)、抗精神病药(85种)、抗恶心药(46种)、抗菌药(39种)和H受体拮抗剂(15种)治疗类别。

结论

许多老年患者使用了具有更高QT间期延长倾向的药物和药物组合。因此,我们需要迫切采取预防性安全干预措施,保持警惕,并在临床环境中预防QT延长和TdP。基于网络的循证药物信息资源可以帮助临床医生为精神科患者选择药物。

相似文献

1
Top 20 drug - drug interactions, polypharmacy and analysis of the nature of risk factors due to QT interval prolonging drug use in elderly psychiatry outpatients.
J Family Med Prim Care. 2020 Dec 31;9(12):6023-6040. doi: 10.4103/jfmpc.jfmpc_1060_20. eCollection 2020 Dec.
5
Proarrhythmic risk with antipsychotic and antidepressant drugs: implications in the elderly.
Drugs Aging. 2009;26(12):997-1012. doi: 10.2165/11318880-000000000-00000.
7
Combinations of QTc-prolonging drugs: towards disentangling pharmacokinetic and pharmacodynamic effects in their potentially additive nature.
Ther Adv Psychopharmacol. 2017 Dec;7(12):251-264. doi: 10.1177/2045125317721662. Epub 2017 Aug 28.
9
Prevalence of the risk factors for QT prolongation and associated drug-drug interactions in a cohort of medical inpatients.
J Formos Med Assoc. 2019 Jan;118(1 Pt 1):109-115. doi: 10.1016/j.jfma.2018.01.016. Epub 2018 Feb 17.

引用本文的文献

2
Clinical Pertinence and Determinants of Potential Drug-Drug Interactions in Chronic Kidney Disease Patients: A Cross-sectional Study.
J Pharm Technol. 2024 Jun;40(3):142-151. doi: 10.1177/87551225241241977. Epub 2024 Apr 3.
4
Determinants of severe QT prolongation in a real-world gerontopsychiatric setting.
Front Psychiatry. 2023 Mar 23;14:1157996. doi: 10.3389/fpsyt.2023.1157996. eCollection 2023.
5
Factors associated with potential drug-drug interactions in psychiatric inpatients.
Eur J Hosp Pharm. 2024 Feb 22;31(2):127-134. doi: 10.1136/ejhpharm-2022-003262.

本文引用的文献

1
Drug use and torsades de pointes cardiac arrhythmias in Sweden: a nationwide register-based cohort study.
BMJ Open. 2020 Mar 12;10(3):e034560. doi: 10.1136/bmjopen-2019-034560.
2
Considerations for the optimal management of antibiotic therapy in elderly patients.
J Glob Antimicrob Resist. 2020 Sep;22:325-333. doi: 10.1016/j.jgar.2020.02.022. Epub 2020 Mar 9.
3
The challenge of HIV treatment in an era of polypharmacy.
J Int AIDS Soc. 2020 Feb;23(2):e25449. doi: 10.1002/jia2.25449.
5
6
Managing Delirium and Agitation in the Older Emergency Department Patient: The ADEPT Tool.
Ann Emerg Med. 2020 Feb;75(2):136-145. doi: 10.1016/j.annemergmed.2019.07.023. Epub 2019 Sep 26.
7
Donepezil-induced QTc prolongation: A case report.
Ment Health Clin. 2019 May 10;9(3):128-132. doi: 10.9740/mhc.2019.05.128. eCollection 2019 May.
8
Proton pump inhibitor-induced hypomagnesemia complicated with serious cardiac arrhythmias.
Expert Rev Cardiovasc Ther. 2019 May;17(5):345-351. doi: 10.1080/14779072.2019.1615446. Epub 2019 May 20.
10
Prevalence of Torsades de Pointes inducing drugs usage among elderly outpatients in North Jordan Hospitals.
Saudi Pharm J. 2018 Dec;26(8):1146-1154. doi: 10.1016/j.jsps.2018.07.002. Epub 2018 Jul 29.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验